Murder Rates

Load Library and prep data

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library(maps)
library(viridis)
library(tidyverse)
library(leaflet)
library(sf)
library(tigris)

# Load the USArrests dataset
data(USArrests)

# Prepare the data for leaflet
arrests_data <- USArrests %>%
  rownames_to_column(var = "state") %>%
  mutate(state = tolower(state))

# Load the US states map data
us_states_map <- map_data("state")

# Define color palette
color_pal <- colorBin(viridis_pal()(5), domain = arrests_data$Murder, bins = 5)

# Join the US states map data with the arrests data
us_states_map_data <- us_states_map %>%
  left_join(arrests_data, by = c("region" = "state"))

# Load the US states shapefile data
us_states_shapefile <- states(class = "sf", resolution = "20m") %>%
  st_transform(4326) %>%
  mutate(state = tolower(NAME))

# Join the US states shapefile data with the arrests data
us_states_map_data <- us_states_shapefile %>%
  left_join(arrests_data, by = c("state" = "state"))

Create Leaflet Map

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# Create the leaflet map
leaflet_map <- leaflet() %>%
  addProviderTiles("CartoDB.Positron") %>%
  addPolygons(
    data = us_states_map_data,
    group = "states",
    fillColor = ~color_pal(Murder),
    color = "#BDBDC3",
    fillOpacity = 0.7,
    weight = 1,
    label = ~paste0(NAME, ": ", Murder, " murders per 100,000"),
    labelOptions = labelOptions(direction = "auto")
  ) %>%
  addLegend(
    pal = color_pal,
    values = arrests_data$Murder,
    title = "Murders per 100,000",
    position = "bottomright",
    opacity = 0.7,
    labFormat = labelFormat(prefix = ""),
    labels = c("Low", "Medium-Low", "Medium", "Medium-High", "High")
  )

# Display the leaflet map
leaflet_map